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Introducing MLOps: How to Scale Machine Learning in the Enterprise

MRP: Rs.750.00
Price in points: 750 points
9789385889769
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Minimum quantity for "Introducing MLOps: How to Scale Machine Learning in the Enterprise" is 1.

All Indian Reprints of O'Reilly are printed in Grayscale

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. 

This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. 

This book helps you: 

  • Fulfill data science value by reducing friction throughout ML pipelines and workflows 
  • Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy 
  • Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable 
  • Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized

Books

Author:
Mark Treveil
Author 2:
The Dataiku Team
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
ships in 1-2 days
Leadtime to ship in days(if not in stock):
ships in 12-15 days
Pages:
188
Publication Date:
23/12/2020
Publisher:
Shroff/O'Reilly
Year:
2020

Dimensions

Dimensions (W x H x D):
7 x 9 x .4 inch

Table of Contents (9789385889769_toc.pdf, 180 Kb) [Download]